ai scientist

Cambia Health Solutions

<div><div>AI Scientist Senior II
Hybrid role (3 days/week in office) at our Burlington, Renton, Spokane, Vancouver, Portland, Medford, Salt Lake City, Boise, Lewiston, or Fargo offices.
Candidates must reside within commutable distance of that location or be willing to relocate.
Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.
Who We Are Looking For:
Every day, Cambia's Applied AI Team is living our mission to make health care easier and lives better. AI Scientists work with various stakeholders to design, develop, and implement data-driven solutions. This position applies deep expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve complex, high-impact business problems in the healthcare payer domain.
As a Senior II AI Scientist, you will serve as a technical leader and strategic advisor, driving innovation across multiple business areas such as clinical care delivery, customer experience, and payment integrity. This is a hands-on technical leadership role &ndash; you will personally architect and build sophisticated AI solutions while simultaneously mentoring junior team members and influencing the technical direction of our AI initiatives. You will lead by example, writing production-quality code, conducting rigorous experiments, and demonstrating best practices in every aspect of AI development. This role requires not only mastery of generative AI, machine learning, and deep learning, but also strong architectural thinking, advanced software engineering capabilities, and the ability to translate ambiguous business challenges into innovative AI solutions.
You will be expected to remain deeply technical, actively contributing code, developing models, and solving complex technical problems alongside your team. Your leadership will come through the quality of your technical work, your ability to tackle the most challenging problems, and your commitment to elevating the skills and capabilities of those around you.
AI Scientists work closely with AI team members in the Product and Engineering tracks to collaboratively develop and deliver models and data-driven products. At the Senior II level, you will lead cross-functional initiatives, establish best practices through your own exemplary work, and serve as a subject matter expert to both technical and business stakeholders &ndash; all in service of making our members' health journeys easier.
If you're an accomplished AI Scientist with a proven track record of delivering impactful solutions through hands-on technical excellence and leading others through example in the healthcare industry, apply for this exciting opportunity today!
What You Bring to Cambia:
Qualifications:
The AI Scientist Sr II would have a degree (masters or PhD preferred) in a strongly a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically at least 12 years of related work experience. Equivalent combination of education and experience will be considered.
Skills and Attributes:
Technical Leadership &amp; Strategy
<ul><li>Recognized expert in generative AI, machine learning, and data science with ability to architect complex, novel solutions and define technical vision aligned with business strategy
</li><li>Deep understanding of the healthcare industry (preferred) with ability to identify and prioritize high-value AI opportunities, evaluate emerging technologies, and lead multiple complex projects from conception to production
</li></ul>Advanced Technical Expertise:
<ul><li>Mastery of advanced AI/ML techniques with ability to innovate beyond existing patterns, combined with expert-level Python programming and strong software engineering principles (design patterns, testing, CI/CD)
</li><li>Deep expertise in working with complex, real-world data challenges (noisy, high-dimensional, sparse, imbalanced, biased) across multiple data domains (e.g., claims, clinical, member engagement)
</li><li>Deep expertise in multiple AI modeling techniques with ability to select and combine methods innovatively, design scalable architectures for offline and online systems, and implement MLOps, model governance, and responsible AI practices
</li><li>Advanced SQL and data engineering skills, including optimization of complex queries and data pipeline design
</li></ul>Problem Solving &amp; Innovation:
<ul><li>Ability to tackle ambiguous, ill-defined problems and structure them into actionable AI initiatives that create measurable business value
</li><li>Proactive identification of AI opportunities for strategic advantage, with ability to anticipate technical risks, design mitigation strategies, and conduct research and experimentation including A/B testing and causal inference
</li></ul>Leadership &amp; Collaboration:
<ul><li>Proven ability to mentor and develop junior AI Scientists while establishing and evangelizing best practices, coding standards, and technical processes
</li><li>Strong leadership presence with ability to influence technical decisions across the organization, lead cross-functional teams, manage stakeholder relationships, and build productive partnerships across departments
</li><li>Excellent communication skills with ability to present complex technical concepts to audiences ranging from technical teams to C-level executives
</li></ul>Business Acumen:
<ul><li>Strong ability to translate business strategy into AI opportunities and technical requirements, quantify business impact and ROI of AI initiatives, and balance technical excellence with pragmatic business delivery
</li><li>Understanding of healthcare payer operations, regulations, and industry trends
</li></ul>C ore Knowledge:
Generative AI
<ul><li>Foundation Models &amp; Architectures: Deep understanding of transformer architectures, attention mechanisms, scaling laws, and experience with multiple model families (GPT, BERT, etc.)
</li><li>Advanced Fine-tuning &amp; Prompt Engineering: Expertise in parameter-efficient fine-tuning (LoRA, QLoRA, Adapters), instruction tuning, domain adaptation, and advanced prompting techniques (chain-of-thought, tree-of-thought, meta-prompting)
</li><li>RAG &amp; Agent Systems: Advanced RAG architectures, hybrid search strategies, knowledge base optimization, and experience designing AI agent systems with tool use, planning, and multi-agent collaboration
</li><li>Evaluation, Alignment &amp; Production: Deep expertise in evaluation methodologies (automated metrics, LLM-as-judge, human evaluation), alignment techniques (RLHF, DPO, constitutional AI), inference optimization, caching strategies, and cost management
</li><li>Multimodal &amp; Responsible AI: Experience with vision-language models and multimodal understanding, plus deep understanding of bias detection and mitigation, hallucination reduction, safety considerations, and privacy-preserving techniques
</li><li>Frameworks &amp; Tools: Expert-level proficiency with Hugging Face ecosystem, LangChain, LlamaIndex, vector databases, and emerging GenAI tools
</li></ul>Machine Learning
<ul><li>Advanced Algorithms &amp; Methods: Deep expertise across supervised, unsupervised, semi-supervised, and reinforcement learning paradigms, including ensemble methods (boosting, bagging, stacking), time series forecasting, and causal inference
</li><li>Optimization &amp; Evaluation: Deep understanding of optimization algorithms, convergence properties, custom loss function design, experimental design, statistical testing, and bias-variance tradeoff analysis
</li><li>AutoML &amp; Transfer Learning: Experience with automated model selection, hyperparameter optimization at scale, and advanced techniques for knowledge transfer and few-shot learning
</li></ul>Deep Learning
<ul><li>Advanced Architectures &amp; Optimization: Deep understanding of CNNs, RNNs, LSTMs, Transformers, GANs, VAEs, and diffusion models, plus advanced optimization methods, learning rate scheduling, and convergence analysis
</li><li>Regularization &amp; Specialized Domains: Advanced techniques including dropout variants, batch normalization, layer normalization, and architectural regularization, with expertise in NLP, computer vision, or speech processing
</li><li>Model Compression: Knowledge of quantization, pruning, distillation, and efficient inference techniques
</li></ul>Mathematics
<ul><li>Core Mathematical Foundations: Advanced linear algebra (matrix decompositions, eigen analysis, numerical methods), probability and statistics (Bayesian methods, hypothesis testing, experimental design), optimization theory (convex optimization, constrained optimization, stochastic optimization), and information theory
</li></ul>Data &amp; Software Engineering
<ul><li>Data Architecture &amp; SQL: Understanding of data warehousing, data lakes, modern data stack components, plus advanced SQL including query optimization, window functions, CTEs, and performance tuning
</li><li>Software Engineering &amp; MLOps: Design patterns, testing strategies (unit, integration, end-to-end), version control, CI/CD, model versioning, experiment tracking, model monitoring, and deployment strategies
</li><li>Distributed Computing &amp; Cloud: Experience with distributed training, data parallelism, scalable data processing (Spark, Dask, Ray), and proficiency with cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI)
</li></ul>What you will do at Cambia:
Note: At the Senior II level, you are expected to demonstrate significant initiative, innovation, and leadership beyond core technical execution. You will shape technical direction, mentor others, and drive strategic AI initiatives.
Technical Leadership &amp; Architecture
<ul><li>Lead the design and architecture of complex, multi-component AI systems that solve strategic business problems, while defining technical standards, best practices, and design patterns for AI development across the team
</li><li>Evaluate and recommend new AI technologies, frameworks, and methodologies for adoption, serving as the technical authority on AI/ML topics
</li><li>Drive innovation by researching and prototyping cutting-edge AI techniques applicable to healthcare challenges, and lead technical design reviews to ensure high-quality solutions
</li></ul>Advanced Model Development &amp; Innovation
<ul><li>Research, design, and implement novel AI solutions using state-of-the-art generative AI, machine learning, and deep learning techniques to handle complex, real-world healthcare data challenges
</li><li>Design custom algorithms and modeling approaches when existing solutions are insufficient, and develop advanced evaluation frameworks that capture business value and model behavior
</li><li>Create reusable components, libraries, and frameworks that accelerate AI development, and lead the development of production grade AI systems with robust monitoring, governance, and maintenance strategies
</li></ul>Strategic Problem Solving &amp; Business Impact
<ul><li>Partner with business leaders to identify high-impact AI opportunities and translate ambiguous business challenges into well-defined AI problems with clear success criteria
</li><li>Design comprehensive experimentation strategies including A/B testing, causal inference, and statistical validation
</li><li>Proactively identify risks, biases, and ethical considerations in AI solutions and develop mitigation strategies, while quantifying and communicating business impact and ROI to executive stakeholders
</li></ul>Data &amp; Engineering Excellence
<ul><li>Design and optimize complex data pipelines for model training, evaluation, and serving, while developing advanced feature engineering strategies that unlock model performance
</li><li>Build scalable, maintainable AI systems using modern MLOps practices and cloud infrastructure, with comprehensive monitoring and observability for production systems
</li><li>Ensure data quality, governance, and compliance with healthcare regulations (HIPAA, etc.)
</li></ul>Mentorship &amp; Team Development
<ul><li>Mentor junior and mid-level AI Scientists, providing technical guidance and career development support through code reviews and constructive feedback
</li><li>Lead knowledge-sharing sessions, workshops, and technical presentations, while contributing to hiring and onboarding processes
</li><li>Foster a culture of continuous learning, experimentation, and technical excellence
</li></ul>Cross-Functional Collaboration &amp; Communication
<ul><li>Lead cross-functional initiatives involving Product, Engineering, and Business stakeholders, communicating complex technical concepts effectively to both technical and non-technical audiences, including executives
</li><li>Build strong partnerships across the organization to identify opportunities and remove blockers, represent the AI team in strategic planning and roadmap discussions, and contribute to thought leadership through presentations, publications, or industry engagement
</li></ul>Responsible AI &amp; Governance
<ul><li>Champion responsible AI practices including fairness, transparency, and accountability, while developing frameworks for bias detection, mitigation, and ongoing monitoring
</li><li>Ensure AI solutions comply with regulatory requirements and ethical guidelines, and lead efforts to document model decisions, assumptions, and limitations for governance purposes
 </li></ul></div><div>Pay ranges vary based on the candidate's work location. The expected hiring range depends on skills, experience, education, and training; relevant licensure / certifications; and performance history. 
</div><div><ul><li>Oregon, Washington, Utah, and Idaho: The expected hiring range is $168,000 - $ 211,000, the full salary range is $168,000 - $211,000, and the bonus target is 20% .
</li></ul></div><div><ul><li>North Dakota: The expected hiring range is $148K - $196K, and the full salary range is $148K - $244K.
</li></ul></div>About Cambia 
 
Working at Cambia means being part of a purpose-driven, award-winning culture built on trust and innovation anchored in our 100+ year history. Our caring and supportive colleagues are some of the best and brightest in the industry, innovating together toward sustainable, person-focused health care. Whether we're helping members, lending a hand to a colleague or volunteering in our communities, our compassion, empathy and team spirit always shine through. 
 
Why Join the Cambia Team? 
 
At Cambia, you can:
<ul><li>Work alongside diverse teams building cutting-edge solutions to transform health care.
</li><li>Earn a competitive salary and enjoy generous benefits while doing work that changes lives.
</li><li>Grow your career with a company committed to helping you succeed.
</li><li>Give back to your community by participating in Cambia-supported outreach programs.
</li>Connect with colleagues who share similar interests and backgrounds through our employee resource groups. 
<li>
</li></ul> 
We believe a career at Cambia is more than just a paycheck &ndash; and your compensation should be too. Our compensation package includes competitive base pay as well as a market-leading 401(k) with a significant company match, bonus opportunities and more. 
 
In exchange for helping members live healthy lives, we offer benefits that empower you to do the same. Just a few highlights include: 
 
<ul><li>Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
</li><li>Annual employer contribution to a health savings account.
</li><li>Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
</li><li>Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
</li><li>Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
</li><li>Award-winning wellness programs that reward you for participation.
</li><li>Employee Assistance Fund for those in need.
</li>Commute and parking benefits. 
<li>
</li></ul> 
Learn more about our benefits . 
 
We are happy to offer work from home options for most of our roles. To take advantage of this flexible option, we require employees to have a wired internet connection that is not satellite or cellular and internet service with a minimum upload speed of 5Mb and a minimum download speed of 10 Mb. 
 
As part of our security requirements, new hires will need access to a personal mobile device to set up Multi-Factor Authentication (MFA) upon joining the company. MFA is an important layer of protection for accessing Cambia systems and is required for all employees.
<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>We are an Equal Opportunity employer dedicated to a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.
If you need accommodation for any part of the application process because of a medical condition or disability, please email CambiaCareers@cambiahealth.com . Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy .</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

AI Scientist Senior II

Survice Engineering Company

<div>Join Us in Making a Difference in the Lives of Those Defending Our Nation!
Why SURVICE?
Come join the SURVICE Engineering mission to protect, enhance, and enable those who defend the United States. Since 1981, we have supported the DoD community, as well as Homeland Security, advanced technologies, environmental, and commercial markets. Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science, acquisition, technical writing, training, and other technical and administrative fields. And many of our personnel have DoD and/or operational military experience. If you're looking for a challenging and rewarding career with a leading organization, come see what we can offer you!
Position
Computational Data Scientist<ul><li>
Location: Aberdeen Proving Ground, Maryland</li><li>
Security Clearance: Active Clearance or Eligible to Obtain - U.S. citizenship required</li><li>
Salary: $115,000 - $130,000 Depending on Experience and Education</li><li>
Travel: 5%</li><li>
Benefits: SURVICE Engineering offers a total rewards package to include competitive salaries, comprehensive insurance options, paid time off, 401k, flexible spending, tuition reimbursement.</li></ul>
Position Summary
SURVICE Engineering is currently seeking a Computational Data Scientist to support our Aberdeen Research Operation. You will accelerate your career and become an integral team member within the defense community.
Primary Duties and Responsibilities<ul><li>
Carry out forward-looking programs of materials research and process modeling leveraging data science methodologies and tools including artificial intelligence, machine learning (ML), probabilistic graph models, neural networks, or other emergent techniques.</li><li>
Work with a multidisciplinary team of ARL experimental, theoretical, and computational scientists through decision making aids such as visual analytics and human-in-the-loop strategies to improve scientific efficiency and impact.</li><li>
Apply learning algorithms on high-dimensional, complex and/or streaming data sets with limited labels and of diverse quality for smart decision making.</li><li>
Pursue data processing of heterogeneous types from numeric, digital objects, images, structured to unstructured from data capture, data integration, data cleaning to data management.</li><li>
Interface with data scientists in academic, industrial and government labs to identify and transition cutting edge tools for use at ARL, and work with outside partners to fill critical gaps in skills and capabilities.</li><li>
Prepare presentations and written documents summarizing efforts in Government format</li></ul>
Minimum Qualifications of Computational Data Scientist 
Masters of Science or PhD in Computer Science or Math related discipline and 3+ years of relevant experience. Exceptional candidates with less experience will be considered. Candidates are not required to possess all qualifications; if you possess some of the desired qualifications, please apply.<ul><li>
MS or PhD concentration in machine learning with at least three (3) independent projects including internships and thesis work OR minimum of five (5) years of dedicated experience with machine learning.</li><li>
Practical experience in applying data science to model complex real-world problems.</li><li>
Proficient in using Python and AI/ML models.</li><li>
Experience in communicating results through reports and presentations.</li></ul>
About Us
SURVICE Engineering is a nationally recognized, single-source engineering service provider for Government and Industry organizations involved in all phases of the systems engineering process. Our employees are our most valuable asset, and they are proud to have supported the development, testing, analysis, and modeling and simulation (M&amp;S) of many of the major U.S. air, land, and sea combat systems in the field today. They have also contributed their expertise to other vital national defense programs and technologies that involve survivability, cybersecurity, information technology/management, software engineering, unmanned aerial systems (UASs), and metrology/reverse engineering. 
SURVICE Engineering is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. VEVRAA Federal Contractor.</div>

Computational Data Scientist

GRVTY

<div>What Impact You'll Have
Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world&rsquo;s most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We&rsquo;d love to hear from you!

We are seeking an Applied Scientist passionate about building next-generation neuro-symbolic AI. In this role, you will be not just applying AI technology but helping to build the next-generation version of that technology. You will be extending the cutting edge of deep learning and machine learning technologies, with novel integration with technologies including symbolic knowledge, probabilistic programming and Bayesian reasoning, automatic program synthesis, combinatoric optimization, and more. You will be collaborating with researchers, engineers, and subject-matter experts to build core technologies and deployable AI solutions solving complex problems with high impact on national security and society.

What You'll be Owning:
<ul><li>Design, architect and implement state-of-the-art AI frameworks and solutions
</li><li>Debug, profile, and refine complex AI systems
</li><li>Collaborate with and/or manage software engineers and scientists
</li><li>Lead or contribute to writing reports and papers
</li><li>Foster relationships with customers
</li><li>Develop and manage highly innovative R&amp;D programs
</li></ul>What You Must Have:
<ul><li>Bachelor&rsquo;s degree in computer science or related field
</li><li>U.S. Citizenship with the ability to obtain a security clearance
</li><li>3+ years experience building ML/AI systems or a completed graduate degree (M.S. or PhD) with academic research experience in ML/AI systems
</li><li>Moderate to advanced proficiency in Python
</li><li>Good fundamental knowledge in probability, multivariable calculus, linear algebra, and related technical areas
</li><li>Familiarity with Linux systems and development
</li><li>Motivated to learn and apply new technologies
</li><li>Ability to accommodate a hybrid schedule (60% onsite 40% remote)
</li></ul>What Would be Nice to Have:
<ul><li>5+ years of post graduate experience building AI/ML systems
</li><li>Experience with product deployment
</li><li>Experience as a writer or cowriter to DoD proposals/grants
</li><li>Demonstrated effectiveness in delivering complex AI / ML solutions to end-users from concept to deployment
</li><li>Demonstrated effectiveness in strategically developing complex AI codebases over months-to-years
</li><li>Broad knowledge across a diversity of computer science research, including programming languages, knowledge representation, reasoning, optimization, robotics, computer vision, etc. a plus</li></ul></div>

HAI - Applied Scientist, AI & Deep Learning (mid to senior level)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
Key job responsibilities 
Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done. 
 
Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level.
 
 
Articulate potential scientific challenges of ongoing or future customers&rsquo; needs or business problems, and present interventions to address them. 
 
Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best
 
 
A day in the life 
As an Applied Scientist on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide. 
 
About the team 
The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping delightful, &amp; personal.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually</div>

Applied Scientist III, Sponsored Products

Press Ganey

<div>Company Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries&mdash;a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare &ndash;perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world&rsquo;s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.<ul><li>
Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.</li><li>
Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.</li><li>
Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.</li><li>
Dare to innovate: We challenge the status quo with creativity and innovation as our true north.</li><li>
Better together: We check our egos at the door. We work together, so we win together.</li></ul>
Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.com Please provide your contact information and the details of your request so we can best assist you.
Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III &ndash; Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and supporting the latest AI innovations in experience intelligence from agentic text analytics to conversational interfaces to data. 
 
You will<ul><li>
Design, Develop, and evaluate Conversational AI Agents</li><li>
Work closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products</li><li>
Leverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI &amp; Machine Learning team</li><li>
Work closely with Responsible AI &amp; Model Validation Center of Excellence to support ethical development of AI Agents</li></ul> 
You have<ul><li>
Master's degree in Computer Science, Artificial Intelligence, or related field</li><li>
5+ years of professional experience in Applied Research and/or Software Engineering</li><li>
Proven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc.</li><li>
Proven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc.</li><li>
Strong understanding of Machine Learning, NLP, and Generative AI</li><li>
Excellent communication and cross-team collaboration skills</li></ul> 
Preferred Qualifications<ul><li>
PhD in Computer Science, Artificial Intelligence, or related field</li><li>
Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Databricks.</li><li>
Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.</li><li>
Involvement in Conversational AI research community</li></ul>
Don&rsquo;t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice &ndash; Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.<div>
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.</div>
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/</div>

ML Data Scientist III

Pinterest

<div><div>About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.</div>
Pinterest is seeking an experienced Staff Data Scientist to join our Finance &amp; Business Operations team. This is a hybrid data-science / applied-AI / product-engineering role inside Pinterest's CFO organization. It sits at the intersection of forecasting and finance analytics, internal tool-building, and AI adoption &mdash; and the person in it is expected to operate across all three.

The core mandate is to make the CFO org's forecasting and planning work faster, be more rigorous, and more self-serve. In practice that has meant owning a forecasting product end to end (data pipeline through user-facing UI), partnering directly with Finance, BizOps, and Core/Monetization stakeholders to embed it in their workflows, and turning the company's emerging AI platform capabilities into tools that finance teams actually use day to day.

This is a high-autonomy, high-trust individual-contributor role with broad cross-functional reach. 


What you'll do:
<ul>
<li>Own forecasting tooling end to end. Build and maintain the team's primary forecasting workbench &mdash; from the underlying data and forecast logic through the interactive web UI that planners use to create, adjust, and review forecasts. This spans baseline vs. adjusted forecast modeling, scenario/delta workflows, backtesting, and diagnostics (year-over-year and month-over-month seasonality, engagement rates, and similar).</li>
<li>Ship product, not just analysis. Design and build user-facing features: chart and visualization work, guided onboarding, history/audit views, region and time-grain filtering, performance optimization, and the kind of polish and bug-fixing that makes an internal tool feel like a real product. Instrument usage (collect and analyze raw logs) and let adoption data drive the roadmap.</li>
<li>Drive AI adoption across Finance &amp; BizOps. Take platform-level AI capabilities and turn them into concrete, trusted tools for finance users. Bring structured business cases (not wishlists) to platform/IT partners, pilot new capabilities, and write the enablement material &mdash; walkthroughs, documentation, &quot;where to get started&quot; guidance &mdash; that gets non-technical teams productive.</li>
<li>Stay ahead of the AI capability curve. A significant part of this role is forward-looking: continuously read and interpret AI research (papers, model and tooling releases) and translate it into a grounded point of view on what will be possible in the next 6&ndash;12 months. Track the engineering roadmap closely, understand what platform capabilities are landing and when, and connect those dots to concrete opportunities for the CFO org &mdash; so the team builds for where AI is going, not just where it is today.</li>
<li>Set AI strategy and guide executives. Turn that capability foresight into strategy: shape the CFO org's AI roadmap, prioritize where to invest, and advise senior leaders and executives on what's real, what's hype, and what to bet on. Communicate complex AI and technical trade-offs in plain, decision-ready terms, and act as a trusted technical advisor in executive conversations.</li>
<li>Deliver recurring finance analytics. Support core CFO-org deliverables: budget-vs-actuals (BVAs), variance commentary, executive slide/deck preparation, and metric diagnostics (e.g., MAU and revenue diagnostics), including catching and resolving data-quality issues.</li>
<li>Partner broadly and communicate clearly. Work directly with Finance, BizOps, Monetization, and platform/IT stakeholders. Translate ambiguous business questions into tooling and analysis, post clear release notes and stakeholder updates, and run live walkthroughs and training sessions.</li>
<li>Set technical and analytical standards. raise the bar on rigor (validation, backtesting, sound metric definitions), make pragmatic build-vs-buy and scope calls, and create artifacts and documentation durable enough to outlive any single contributor.</li></ul> 
 
What we're looking for:
<ul>
<li>Data science &amp; forecasting</li>
<li>Strong applied background in time-series forecasting and quantitative analysis: baseline construction, scenario/adjustment modeling, backtesting and forecast-accuracy evaluation, and seasonality analysis (y/y, m/m).</li>
<li>Fluency in turning messy business questions into well-defined metrics and diagnostics; rigorous about metric definitions, data quality, and validation.</li>
<li>Advanced SQL and proficiency in a primary analysis language (Python strongly preferred); comfort working directly with data warehouses and large datasets.</li>
<li>Engineering &amp; tool-building</li>
<li>Demonstrated ability to build and ship internal web tools, not just notebooks or one-off analyses &mdash; meaningful front-end / full-stack capability (e.g., JavaScript/TypeScript, modern UI frameworks, interactive data visualization).</li>
<li>Practical product-engineering instincts: UX/usability sense, performance debugging and optimization, handling state/data edge cases, and disciplined release hygiene (testing, build/lint, changelogs).</li>
<li>Experience building dashboards and self-serve analytics (e.g., Superset, Tableau, Looker, or equivalent).</li>
<li>Applied AI</li>
<li>Hands-on experience applying modern AI/LLM tooling to real workflows &mdash; prototyping with AI assistants, agentic/MCP-style tooling, or internal AI platforms &mdash; and a track record of moving from experiment to adopted tool.</li>
<li>Ability to build the business case for AI investment and to drive adoption with non-technical users (enablement, documentation, training).</li>
<li>AI foresight &amp; strategy (critical)</li>
<li>Demonstrated habit of staying current with AI research and the broader landscape: able to read papers and model/tooling release notes and form a credible, independent view of what will be feasible 6&ndash;12 months out.</li>
<li>Able to interpret an engineering roadmap and reconcile it with where the technology is heading &mdash; translating both into a concrete capability plan for the business.</li>
<li>Strong product/business strategy instincts: prioritizing AI investments, sequencing bets, and distinguishing durable capability from hype.</li>
<li>Executive influence</li>
<li>Proven ability to advise and guide senior leaders and executives on technical and AI strategy, and to make complex trade-offs legible to a non-technical executive audience.</li>
<li>Comfortable being the trusted technical voice in the room &mdash; framing decisions, managing expectations, and earning credibility with both finance leadership and engineering/platform partners.</li>
<li>Scope, ownership &amp; communication</li>
<li>Staff-level autonomy: can independently scope, prioritize, and deliver multi-month efforts with minimal direction, and make sound trade-off calls.</li>
<li>Excellent written and verbal communication; can write for executives and for end users, and can run live training and walkthroughs.</li>
<li>Strong cross-functional collaboration across finance, operations, and technical/platform partners.</li>
<li>Experience</li>
<li>Minimum of 8 years of relevant experience in data science, analytics engineering, or applied ML.</li>
<li>Bachelor's degree in a quantitative field (e.g., statistics, computer science, economics, engineering, math) or equivalent practical experience; advanced degree is a plus.</li></ul> 


Relocation Statement:
<ul>
<li>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</li></ul> 


In-Office Requirement Statement:
<ul>
<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration1-2 times every 6-months and therefore can be situated anywhere in the country.</li> 
</ul>
#LI-NM4

#LI-REMOTE<div>
Our Commitment to Inclusion:
<div>
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.</div>
<div></div>
<div>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</div></div></div>

Staff Data Scientist, Finance & Business Ops

The New York Times

<div><div><div><div><div><div>The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for.
</div>
</div></div></div></div>About the Role, Mission or Department Overview

The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products &amp; Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations. 


You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role. 


Responsibilities:
<ul>
<li>You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.
</li>
<li>You will fine-tune and evaluate language models for custom use cases and content enrichment.
</li>
<li>You will contribute to shared practices around evaluation, responsible A.I. use, and what &quot;good&quot; is inside an organization where judgment and independence are important
</li>
<li>You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs
</li>
<li>You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches
</li>
<li>You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups
</li>
<li>Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.</li></ul> 

Basic Qualifications:
<ul>
<li>PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline
</li>
<li>2+ years experience with open source machine learning or statistical analysis tools
</li>
<li>2+ years coding experience in Python
</li>
<li>2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis
</li>
<li>1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow</li></ul> 

Preferred Qualifications:
<ul>
<li>1+ years of experience with information retrieval or search systems
</li>
<li>1+ years of experience translating ambiguous business questions into machine learning problems
</li>
<li>1+ years of experience building data products, either internal or consumer-facing
</li>
</ul>REQ-020337<div> 
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

For roles outside of the U.S., information on benefits will be provided during the interview process.

We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.

If you're an Engineering candidate, we'll let you know what specific GenAI tools you are permitted to use for your technical assessment.

The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.

We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here.

The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable &quot;Fair Chance&quot; laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

For information about The New York Times' privacy practices for job applicants click here.

Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.

If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.</div></div>

Machine Learning Scientist, New AI Products and Platforms

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